£115.07

Springer Algorithms in Machine Learning Paradigms: 870 (Studies in Computational Intelligence, 870)

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Description

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 January 2020
Listed Since
18 September 2019

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No barcode data available

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